Job Abstract

The Global Information Systems Group is dedicated to the success of Lam through providing best-in-class and innovative information system solutions and services. Together, we support users globally with data, information, and systems to achieve their business objectives. 

As a Business System Analyst at Lam Research, your focus will be on generating business value by collaborating with business partners. This involves gathering requirements from different business domains such as Engineering, Design, Supply Chain, and Manufacturing, and documenting them as Business Requirement Documents and Functional Requirement Documents. You will have the opportunity to leverage AI technologies to enhance business processes and decision-making. This may involve implementing machine learning algorithms, natural language processing, or other AI techniques to analyze data, automate tasks, and provide valuable insights to business partners

To provide end-to-end solutions that create business value, you will work closely with a team of Data Scientists, Data Engineers, Software Engineers, and Infrastructure experts. By collaborating with business partners and leveraging the skills and knowledge of your cross-functional team, you can identify opportunities for improvement, streamline processes, and implement solutions that drive business growth and success within the organization.

Key Responsibilities

• Analyze complex business problems and identify opportunities for automation or process re-engineering using AI or other automated system solutions.
   
• Ability to translate business needs into technical requirements for data analytics solutions.
• Ability to gather and document business requirements for data analytics projects.
• Guide users and stakeholders towards the most effective solution.
• Identify, evaluate, and develop systems requirements and procedures that are cost-effective and meet user requirements.
• Support and work with legacy applications as required.
• Act as a project manager or participate in medium to large size projects, overseeing all phases from inception through postmortem.
• Plan and execute unit, integration, and acceptance testing to support IS and corporate initiatives.
• Lead cross-functional efforts to address business or systems issues.
• Assist the business unit in troubleshooting and solving business systems problems, such as ERP, PLM, CAD, and process problems.
• Provide business unit systems customer support and act as a liaison with external vendors.
• Collaborate on the preparation of training material and deliver user training.
• Knowledge of data governance and data quality best practices

• 15+ years of experience in the overall IT industry, with a focus on data analytics and data aggregation
• At least 5+ years of experience in collecting requirements for AI/ML use cases.
• Proficiency in Microsoft Azure, APIs, or similar cloud computing ecosystem preferred.
• Excellent written and verbal communication and presentation skills.
• Strong problem-solving skills and experience with generative AI and RAG pattern.
• Knowledge of machine learning techniques and algorithms.
• Ability to work independently and in a team to work productively with business stakeholders.
• Familiarity with Agile methodologies and project management principles (Tools – JIRA, Confluence, Sprint Planning etc)
• Ability to document BRDs, FRDs etc.
• Proficiency in the IT systems and infrastructure commonly used in the semiconductor industry, including PLM, enterprise resource planning (ERP) systems, and data analytics platforms.
• Knowledge of supply chain processes and best practices in the semiconductor industry, including procurement, inventory management, and logistics.
• Knowledge of SQL and database management systems
• Familiarity with data visualization tools such as Power BI

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.